Shape measures for image retrieval

被引：11

作者：

Gagaudakis, G ^{[1
]}

Rosin, PL ^{[1
]}

机构：

[1] Univ Wales Coll Cardiff, Dept Comp Sci, Cardiff CF24 3XF, S Glam, Wales

来源：

PATTERN RECOGNITION LETTERS | 2003年 / 24卷 / 15期

关键词：

content-based image retrieval; histogram; shape; texture; colour;

D O I：

10.1016/S0167-8655(03)00114-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the main goals in content-based image retrieval is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obtaining shape information (in particular avoiding region segmentation) we develop several shape measures that tackle the problem in an indirect manner, requiring only a minimal amount of segmentation. A histogram-based scheme is then used, maintaining low complexity with high efficiency and robustness. The obtained results showed that the combination of the shape measures provide an improvement over the colour histogram. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：2711 / 2721

页数：11

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